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Quick-start guide
User Guide
API Reference
Gallery of examples
Citing tslearn
GitHub
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Metrics
Canonical Time Warping
Dynamic Time Warping
DTW computation with a custom distance metric
Frechet
LB_Keogh
Longest Common Subsequence
Longest Common Subsequence with a custom distance metric
sDTW multi path matching
Soft Dynamic Time Warping
Nearest Neighbors
k-NN search
Hyper-parameter tuning of a pipeline with KNeighbors time series classifier
Nearest neighbors
1-NN with SAX + MINDIST
Clustering and Barycenters
DBSCAN
Soft-DTW weighted barycenters
Barycenters
Kernel k-means
k-means
KShape
Classification
Early Classification
Learning Shapelets: decision boundaries in 2D distance space
Aligning discovered shapelets with timeseries
Learning Shapelets
SVM and GAK
Forecasting
VARIMA
Automatic differentiation
Soft-DTW loss for PyTorch neural network
Miscellaneous
Distance and Matrix Profiles
Matrix Profile
PAA and SAX features
Model Persistence
Gallery of examples
Forecasting
Forecasting
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VARIMA
VARIMA